1932

Abstract

Energy efficiency policies are pursued as a way to provide affordable and sustainable energy services. Efficiency measures that reduce energy service costs will free up resources that can be spent in the form of increased consumption—either of that same good or service or of other goods and services that require energy (and that have associated emissions). This is called the rebound effect. There is still significant ambiguity about how the rebound effect should be defined, how we can measure it, and how we can characterize its uncertainty. Occasionally the debate regarding its importance reemerges, in part because the existing studies are not easily comparable. The scope, region, end-uses, time period of analysis, and drivers for efficiency improvements all differ widely from study to study. As a result, listing one single number for rebound effects would be misleading. Rebound effects are likely to depend on the specific attributes of the policies that trigger the efficiency improvement, but such factors are often ignored. Implications for welfare changes resulting from rebound have also been largely ignored in the literature until recently.

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2014-10-17
2024-03-28
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Literature Cited

  1. Azevedo IL, Sonnberger M, Thomas B, Morgan G, Renn O. 1.  2013. The rebound effect: implications of consumer behaviour for robust energy policies—a review of the literature on the rebound effect in energy efficiency and report from expert workshops. IRGC Rep., Int. Risk Gov. Counc., Lausanne, Switz.
  2. Jaffe AB, Stavins RN. 2.  1994. The energy efficiency gap: What does it mean?. Energy Policy 22:804–10 [Google Scholar]
  3. Howarth R, Sanstad A. 3.  1995. Discount rates and energy efficiency. Contemp. Econ. Policy 13:101–9 [Google Scholar]
  4. Brown MA. 4.  2001. Market failures and barriers as a basis for clean energy policies. Energy Policy 29:141197–207 [Google Scholar]
  5. Blumstein C, Krieg B, Schipper L, York C. 5.  1980. Overcoming social and institutional barriers to energy conservation. Energy 5:4355–71 [Google Scholar]
  6. Anderson CD, Claxton JD. 6.  1982. Barriers to consumer choice of energy efficient products. J. Consum. Res. 9:2163–70 [Google Scholar]
  7. Golove WH, Eto JH. 7.  1996. Market barriers to energy efficiency: a critical reappraisal of the rationale for public policies to promote energy efficiency Rep. LBL-38059, Lawrence Berkeley Natl. Lab., Energy Environ. Div., Berkeley, CA
  8. 8. Natl. Acad. Sci 2009. America's Energy Future: Technology and Transformation. Washington, DC: US Natl. Res. Counc., Natl. Acad. Press
  9. Jevons WS. 9.  1865. The Coal Question. An Inquiry Concerning the Progress of the Nation, and the Probable Exhaustion of Our Coal-Mines. London: Macmillan
  10. Alcott B. 10.  2005. Jevons' paradox. Ecol. Econ. 54:19–21 [Google Scholar]
  11. Brookes L. 11.  1979. A low energy strategy for the UK by G. Leach et al., a review and reply. Atom 269:3–8 [Google Scholar]
  12. Khazzoom JD. 12.  1980. The economic implications of mandated efficiency in standards for household appliances. Energy J. 1:421–40 [Google Scholar]
  13. Saunders HD. 13.  1992. The Khazzoom-Brookes postulate and neoclassical growth. Energy J. 13:4131–48 [Google Scholar]
  14. Sorrell S. 14.  2007. The rebound effect: an assessment of the evidence for economy-wide energy savings from improved energy efficiency Rep., Sussex Energy Group, prepared for Technol. Policy Assess. Funct., UK Energy Res. Cent. (UKERC), London
  15. Hertwich EG. 15.  2005. Consumption and the rebound effect: an industrial ecology perspective. J. Ind. Ecol. 9:1–285–98 [Google Scholar]
  16. Brookes L. 16.  2000. Energy efficiency fallacies revisited. Energy Policy 28:355–66 [Google Scholar]
  17. Saunders HD. 17.  2000. A view from the macro side: rebound, backfire, and Khazzoom-Brookes. Energy Policy 28:439–49 [Google Scholar]
  18. Saunders HD. 18.  2008. Fuel conserving (and using) production functions. Energy Econ. 30:2184–235 [Google Scholar]
  19. Howarth R. 19.  1997. Energy efficiency and economic growth. Contemp. Econ. Policy XV:41–9 [Google Scholar]
  20. Binswanger M. 20.  2001. Technological progress and sustainable development: what about the rebound effect. Ecol. Econ. 36:1119–32 [Google Scholar]
  21. Berkhout PHG, Muskens JC, Velthuijsen JW. 21.  2000. Defining the rebound effect. Energy Policy 28:425–32 [Google Scholar]
  22. Sorrell S, Dimitropoulos J. 22.  2008. The rebound effect: microeconomic definitions, limitations and extensions. Ecol. Econ. 65:636–49 [Google Scholar]
  23. Thomas B, Azevedo IL. 23.  2013. Estimating direct and indirect rebound effects for U.S. households with input-output analysis. Part 1: Theoretical framework. Ecol. Econ. 86:199–210 [Google Scholar]
  24. Thomas B, Azevedo IL. 24.  2013. Estimating direct and indirect rebound effects for U.S. households with input-output analysis. Part 2: Simulation. Ecol. Econ. 86:188–98 [Google Scholar]
  25. Brookes L. 25.  1990. The greenhouse effect: the fallacies in the energy efficiency solution. Energy Policy 18:199–201 [Google Scholar]
  26. Guerra A, Sancho F. 26.  2010. Rethinking economy-wide rebound measures: an unbiased proposal. Energy Policy 38:6684–94 [Google Scholar]
  27. Greening LA, Greene DL, Difiglio C. 27.  2000. Energy efficiency and consumption—the rebound effect—a survey. Energy Policy 28:6–7389–401 [Google Scholar]
  28. Gillingham K, Kotchen M, Rapson D, Wagner G. 28.  2013. The rebound effect is overplayed. Nature 493:475–76 [Google Scholar]
  29. Jenkins J, Nordhaus T, Shellenberger M. 29.  2011. Energy Emergence. Rebound & Backfire as Emergent Phenomena. Oakland, CA: Breakthr. Inst.
  30. Schipper L, Grubb M. 30.  2000. On the rebound? Feedback between energy intensities and energy uses in IEA countries. Energy Policy 28:367–88 [Google Scholar]
  31. Turner K. 31.  2009. Negative rebound and disinvestment effects in response to an improvement in energy efficiency in the U.K. Energy Econ. 31:648–66 [Google Scholar]
  32. Chalkley AM, Billett E, Harrison D. 32.  2001. An investigation of the possible extent of the re-spending rebound effect in the sphere of consumer products. J. Sustain. Prod. Des. 1:163–70 [Google Scholar]
  33. Druckman A, Chitnis M, Sorrell S, Jackson T. 33.  2011. Missing carbon reductions? Exploring rebound and backfire in U.K. households. Energy Policy 39:3572–81 [Google Scholar]
  34. Saunders HD. 34.  2010. Historical evidence for energy consumption rebound in 30 U.S. sectors and a toolkit for rebound analysts. Breakthr. Inst. Blog Nov. 10. http://thebreakthrough.org/blog/Historical Evidence Article 11-11-10.pdf
  35. Allan G, Hanley N, McGregor PG, Swales JK, Turner K. 35.  2006. The macroeconomic rebound effect and the UK economy Final Rep., May 16, Dep. Environ. Food. Rural Aff. (DEFRA)
  36. Allan G, Gilmartin M, Turner K. 36.  2007. UKERC review of evidence for the rebound effect Tech. Rep. 4: Computable general equilibrium modeling studies. UK Energy Res. Cent., London
  37. Wei T. 37.  2010. A general equilibrium view of global rebound effects. Energy Econ. 32:661–72 [Google Scholar]
  38. Van den Bergh J. 38.  2011. Energy conservation more effective with rebound policy. Environ. Resour. Econ. 48:43–58 [Google Scholar]
  39. Tsao J, Saunders HD, Creighton J, Coltrin M, Simmons J. 39.  2010. Solid-state lighting: an energy-economics perspective. J. Phys. D Appl. Phys. 43:1–17 [Google Scholar]
  40. Fouquet R, Pearson PJG. 40.  2012. The long run demand for lighting: elasticities and rebound effects in different phases of economic development. Econ. Energy Environ. Policy 1:83–100 [Google Scholar]
  41. Fouquet R. 41.  2012. Trends in income and price elasticities of transport demand (1850–2010). Energy Policy (Spec. Issue) 50:62–71 [Google Scholar]
  42. Borenstein S. 42.  2013. A microeconomic framework for evaluating energy efficiency rebound and some implications NBER Work. Pap. 19044, Natl. Bur. Econ. Res., Cambridge, MA
  43. Thomas BA. 43.  2012. Energy efficiency and rebound effects in the United States: implications for renewables investment and emissions abatement PhD Diss., Carnegie Mellon Univ.
  44. Nässén J, Holmberg J. 44.  2009. Quantifying the rebound effects of energy efficiency improvements and energy conserving behaviour in Sweden. Energy Effic. 2:2201–31 [Google Scholar]
  45. Sorrell S, Dimitropoulos J. 45.  2007. UKERC review of evidence for the rebound effect Tech. Rep. 2: Econometric studies. UK Energy Res. Cent. (UKERC), London
  46. Small K, van Dender K. 46.  2007. Fuel efficiency and motor vehicle travel: the declining rebound effect. Energy J. 28:25–51 [Google Scholar]
  47. Hirst E, White D, Goeltz R. 47.  1985. Indoor temperature changes in retrofit homes. Energy 10:861–70 [Google Scholar]
  48. Dubin J, Miedema A, Chandran R. 48.  1986. Price effects of energy-efficient technologies: a study of residential demand for heating and cooling. RAND J. Econ. 17:310–25 [Google Scholar]
  49. Dinan T, Trumble D. 49.  1989. Temperature takeback in the Hood River Conservation Project. Energy Build. 13:39–50 [Google Scholar]
  50. Schwartz PM, Taylor TN. 50.  1995. Cold hands, warm hearth? Climate, net takeback, and household comfort. Energy J. 16:41–54 [Google Scholar]
  51. Davis L. 51.  2008. Durable goods and residential demand for energy and water: evidence from a field trial. RAND J. Econ. 39:530–46 [Google Scholar]
  52. Haughton J, Sarkar S. 52.  1996. Gasoline tax as a corrective tax: estimates for the United States, 1970–1991. Energy J. 17:103–26 [Google Scholar]
  53. Gillingham K. 53.  2012. Selection on anticipated driving and the consumer response to changing gasoline prices.. Work. Pap., Yale Univ., New Haven, CT. http://www.yale.edu/gillingham/Gillingham_ConsResponseGasPrices.pdf [Google Scholar]
  54. Greene DL. 54.  2012. Rebound 2007: analysis of U.S. light-duty vehicle travel statistics. Energy Policy 41:14–28 [Google Scholar]
  55. Hanly M, Dargay JM, Goodwin PB. 55.  2002. Review of income and price elasticities in the demand for road traffic Final Rep. to the DTLR, Contract No. PPAD 9/65/93, ESRC Transp. Stud. Unit, Univ. College London
  56. Azevedo IL, Morgan MG, Lave L. 56.  2011. Residential and regional electricity consumption in the US and EU: How much will higher prices reduce CO2 emissions?. Electr. J. 24:121–29 [Google Scholar]
  57. Houthakker HS. 57.  1951. Some calculations of electricity consumption in Great Britain. J. R. Stat. Soc. A 114:351–71 [Google Scholar]
  58. Houthakker HS, Taylor LD. 58.  1970. Consumer Demand in the United States Cambridge, MA: Harvard Univ. Press, 2nd ed..
  59. Fisher FM, Kaysen C. 59.  1962. A Study in Econometrics: The Demand for Electricity in the United States Amsterdam: North Holland Publ.
  60. Taylor LD. 60.  1975. The demand for electricity: a survey. Bell J. Econ. 6:174–110 [Google Scholar]
  61. Taylor LD, Blattenberger G, Verleger P. 61.  1977. The residential demand for energy EPRI EA-235 Final Rep., Vol. 1, Electric Power Res. Inst., Palo Alto, CA
  62. Mount TD, Chapman LD, Tyrrell TJ. 62.  1973. Electricity demand in the United States: an econometric analysis Rep. ORNL-NSF-49, June, Oak Ridge Natl. Lab., Oak Ridge, TN
  63. Espey J, Espey M. 63.  2004. Turning on the lights: a meta-analysis of residential electricity demand elasticities. J. Agric. Appl. Econ. 36:65–81 [Google Scholar]
  64. Bohi D, Zimmerman M. 64.  1984. An update on econometric studies of energy demand behavior. Annu. Rev. Energy 9:105–54 [Google Scholar]
  65. Reiss P, White W. 65.  2005. Household electricity demand, revisited. Rev. Econ. Stud 72:853–83 [Google Scholar]
  66. Ito K. 66.  2014. Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing. Am. Econ. Rev. 104:2537–63 [Google Scholar]
  67. McFadden D, Puig C, Kirshner D. 67.  1977. Determinants of the long-run demand for electricity. Proc. Am. Stat. Assoc. Bus. Econ. Sect. 1:72109–17 [Google Scholar]
  68. Taylor LD. 68.  1977. The demand for energy: a survey of price and income elasticities. In International Studies of the Demand for Energy: Selected Papers, ed. WD Nordhaus, R Goldstein, pp.3–43 Amsterdam: North Holland Publ. [Google Scholar]
  69. Barnes R, Gillingham R, Hagemann R. 69.  1981. The short-run residential demand for electricity. Rev. Econ. Stat. 63:541–52 [Google Scholar]
  70. Maddala GS, Trost RP, Li H, Joutz F. 70.  1997. Estimation of short-run and long-run elasticities of energy demand from panel data using shrinkage estimators. J. Bus. Econ. Stat. 15:190–101 [Google Scholar]
  71. Baltagi BH, Griffin JM. 71.  1983. Gasoline demand in the OECD: an application of pooling and testing procedures. Eur. Econ. Rev. 22:2117–37 [Google Scholar]
  72. Lee C, Lee J. 72.  2010. A panel data analysis of the demand for total energy and electricity in OECD countries. Energy J. 31:11–24 [Google Scholar]
  73. Nakajima T, Hamori S. 73.  2010. Change in consumer sensitivity to electricity prices in response to retail deregulation: a panel empirical analysis of the residential demand for electricity in the United States. Energy Policy 38:52470–76 [Google Scholar]
  74. Paul AC, Myers EC, Palmer KL. 74.  2009. A partial adjustment model of the US electricity demand by region, season and sector RFF Discuss. Pap. No. 08–50, Resour. Futur., Washington, DC. http://www.rff.org/RFF/Documents/RFF-DP-08-50.pdf
  75. Garcia-Cerutti LM. 75.  2000. Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms. Resour. Energy Econ. 22:355–66 [Google Scholar]
  76. Semboja H. 76.  1994. The effects of an increase in energy efficiency on the Kenyan economy. Energy Policy 22:3217–25 [Google Scholar]
  77. Grepperud S, Rasmussen I. 77.  2004. A general equilibrium assessment of rebound effects. Energy Econ. 26:2261–82 [Google Scholar]
  78. Glomsrød S, Wei T. 78.  2005. Coal cleaning: a viable strategy for reduced carbon emissions and improved environment in China?. Energy Policy 33:4525–42 [Google Scholar]
  79. Hanley N, McGregor P, Swales K, Turner K. 79.  2009. Do increases in energy efficiency improve environmental quality and sustainability. Energy Econ. 31:646–66 [Google Scholar]
  80. Chitnis M, Sorrell S, Druckman A, Firth S, Jackson T. 80.  2012. Estimating direct and indirect rebound effects for UK households SLRG Work. Pap. 01–12, Sustain. Lifestyles Res. Group, Cent. Environ. Strategy, Univ. Surrey, Guildford, UK
  81. Lenzen M, Dey CJ. 81.  2002. Economic, energy and greenhouse emissions impacts of some consumer choice, technology and government outlay options. Energy Econ. 24:377–403 [Google Scholar]
  82. Alfredsson EC. 82.  2004. ‘Green’ consumption—no solution for climate change. Energy 29:513–24 [Google Scholar]
  83. Brannlund R, Ghalwash T, Norstrom J. 83.  2007. Increased energy efficiency and the rebound effect: effects on consumption and emissions. Energy Econ. 29:1–17 [Google Scholar]
  84. Mizobuchi K. 84.  2008. An empirical study on the rebound effect considering capital costs. Energy Econ. 30:2486–516 [Google Scholar]
  85. Thiesen J, Christiansen TS, Kristensen TG, Andersen RD, Brunoe B. 85.  et al. 2008. Rebound effects of price differences. Int. J. Life Cycle Assess. 13:104–14 [Google Scholar]
  86. Kratena K, Wueger M. 86.  2010. The full impact of energy efficiency on household's energy demand WIFO Work. Pap. No. 356, Austrian Inst. Econ. Res. (WIFO), Vienna
  87. Girod B, de Haan P. 87.  2010. More or better? A model for changes in household greenhouse gas emissions due to higher income. J. Ind. Ecol. 14:31–49 [Google Scholar]
  88. Freire-Gonzalez J. 88.  2011. Methods to empirically estimate direct and indirect rebound effect of energy-saving technological changes in households. Ecol. Model. 223:32–40 [Google Scholar]
  89. Murray CK. 89.  2011. Income dependent direct and indirect rebound effects from ‘green’ consumption choices in Australia MPRA Pap. No. 34973, Munich Pers. RPEC Archive, Munich
  90. Wang H, Zhou P, Zhou DQ. 90.  2012. An empirical study of the direct rebound effect for passenger transport in urban China. Energy Econ. 34:452–60 [Google Scholar]
  91. Stavins RN. 91.  2006. Vintage-differentiated environmental regulation. Stanford Environ. Law J. 25:29–63 [Google Scholar]
  92. Wirl F. 92.  2000. Lessons from utility conservation programs. Energy J. 21:87–108 [Google Scholar]
  93. Gillingham K, Rapson D, Wagner G. 93.  2014. The rebound effect and energy efficiency policy Work. Pap., Yale Univ. http://www.yale.edu/gillingham/Rebound_Effect_GRW.pdf
  94. Henly J, Ruderman H, Levine M. 94.  1988. Energy saving resulting from adoption of more efficient appliances: a follow-up. Energy J. 9:163–70 [Google Scholar]
  95. Wirl F. 95.  1997. The Economics of Conservation Programs Boston: Kluwer Acad.
  96. Davis L, Fuchs A, Gertler P. 96.  2012. Cash for coolers.. NBER Work. Pap. 18044: Natl. Bur. Econ. Res., Cambridge, MA [Google Scholar]
  97. Roy J. 97.  2000. The rebound effect: some empirical evidence from India. Energy Policy 28:433–38 [Google Scholar]
  98. Dhungel KR. 98.  2003. Income and price elasticity of the demand for energy: a macro-level empirical analysis. Pacific Asian J. Energy 13:273–84 [Google Scholar]
  99. Galindo LM. 99.  2005. Short- and long-run demand for energy in Mexico: a cointegration approach. Energy Policy 33:91179–85 [Google Scholar]
  100. Holtedahl P, Joutz FL. 100.  2004. Residential electricity demand in Taiwan. Energy Econ. 26:2201–24 [Google Scholar]
  101. Kulshreshtha M, Parikh JK. 101.  2000. Modeling demand for coal in India: vector autoregressive models with cointegrated variables. Energy 25:2149–68 [Google Scholar]
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